- UCAS course code
- B740
- UCAS institution code
- M20
Bachelor of Nursing (BNurs)
BNurs Adult Nursing
- Typical A-level offer: BBC including specific subjects
- Typical contextual A-level offer: Course not eligible for contextual offer
- Refugee/care-experienced offer: Course not eligible for contextual offer
- Typical International Baccalaureate offer: 30 points overall with 5,5,4 at HL, including specific requirements
Fees and funding
Fees
Tuition fees for home students commencing their studies in September 2025 will be £9,535 per annum (subject to Parliamentary approval). Tuition fees for international students will be £32,000 per annum. For general information please see the undergraduate finance pages.
Policy on additional costs
All students should normally be able to complete their programme of study without incurring additional study costs over and above the tuition fee for that programme. Any unavoidable additional compulsory costs totalling more than 1% of the annual home undergraduate fee per annum, regardless of whether the programme in question is undergraduate or postgraduate taught, will be made clear to you at the point of application. Further information can be found in the University's Policy on additional costs incurred by students on undergraduate and postgraduate taught programmes (PDF document, 91KB).
Scholarships/sponsorships
As per the government announcement, all UK nursing students on courses from September 2020 will receive a payment of at least £5,000 a year which they will not need to pay back. The funding will be given to all new and continuing degree-level nursing, midwifery and many allied health students from September 2020. More information can be found on the NHS website.
Please note, eligibility criteria for the new funding will be the same as the wider NHS Learning Support Fund payable to students ordinarily resident in the UK and studying at a university in England. Find out about the financial support available to students starting at Manchester.
Find out about the financial support available to students starting at Manchester.
The Catherine Chisholm scholarship is also applicable to students from selected countries for this course. Find out more details on the scholarship page .
Course unit details:
Data Driven Care: Doing Statistical Research
Unit code | NURS23161 |
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Credit rating | 10 |
Unit level | Level 5 |
Teaching period(s) | Semester 1 |
Available as a free choice unit? | No |
Overview
This course introduces students to foundational concepts and skills required to undertake quantitative research in healthcare settings. The unit encourages critical engagement with statistical research methods while fostering hands-on experience in small-scale data collection and analysis. Students will develop an appreciation for the role of quantitative research in advancing nursing practice, alongside the practical skills necessary to design, conduct, and interpret research findings.
Aims
This unit aims to:
Facilitate students to develop the skills to undertake basic statistical research and to understand the limits and opportunities of quantitative research. Students will practice the major aspects of producing research using statistical methods. Students will be supported to collaboratively develop their research skills with a focus on research with numbers and undertake a small piece of low-risk quantitative research using methods such as questionnaires and observations. They will develop and apply critical thinking skills to the undertaking of quantitative research.
Syllabus
The syllabus introduces the value of quantitative research in nursing, covering study designs, ethical considerations, data collection and analysis techniques, and practical application. Students will learn reflexivity in quantitative research, reporting findings effectively, and producing a small-scale research project.
Teaching and learning methods
A mix of lectures, seminars, online study, and practical workshops will support learning. Students will participate in small group work, collaborative projects and discussions. Hands-on experience will be gained through data collection and analysis using SPSS.
Knowledge and understanding
A1 Demonstrate knowledge and understanding of quantitative research methods
A2 Demonstrate awareness of the ethical issues in quantitative research, including routinely collected data and data collected in special settings e.g. prisons
A3 Identify and discuss the relevant study designs in quantitative research
A4 Demonstrate knowledge and understanding of participant recruitment in quantitative research
A5 Demonstrate knowledge and understanding of the use of routinely collected data for quantitative research
Intellectual skills
B1 Identify and explain the underpinning evidence for how to choose appropriate quantitative research methods
B2 Demonstrate knowledge and understanding of the importance of rigorous data collection
B3 Demonstrate knowledge and understanding of the importance of rigorous analytical techniques
B4 Demonstrate knowledge and understanding of the importance of appropriate reporting of statistical findings
Practical skills
C1 Demonstrate ability to effectively undertake a small low risk quantitative research project
C2 Demonstrate ability to develop appropriate materials to support a small quantitative research project (i.e. information sheets, data collection tools etc)
C3 Demonstrate ability to analyse data in a rigorous manner
C4 Demonstrate ability to conduct basic statistical analyses using SPSS software
C5 Demonstrate ability to write up findings from small quantitative research project
C6 Demonstrate ability to reflect on quantitative research processes
Transferable skills and personal qualities
D1 Demonstrate understanding of the limitations of quantitative research
D2 To reflect on their own knowledge and skills in relation to quantitative research methods
D3 Participate in collaborative learning and peer support
Assessment methods
The summative assessment involves producing a 2000-word academic research report of a small-scale quantitative project, including a short reflective account. Students will present their research plans to peers for formative feedback.
Feedback methods
Students will receive verbal and written feedback on their formative presentation and summative report, alongside peer feedback to foster collaborative learning and continuous improvement.
Recommended reading
1. Olsen J. An Introduction to Epidemiology for Health Professionals . (Christensen K, Murray J, Ekbom A, eds.). Springer New York ; Imprint Springer; 2010.
2. Kleinbaum DG. Logistic Regression : A Self-Learning Text . (Klein M, ed.). Springer New York ; Imprint Springer; 2010.
3. MacInnes J. An introduction to secondary data analysis with IBM SPSS statistics . Sage Publications Ltd; 2017.
4. Dancey CP. Statistics without maths for psychology . Seventh edition. (Reidy J, ed.). Pearson; 2017.
5. Bowling A. Research methods in health : investigating health and health services . Fifth edition. Open University Press McGraw-Hill; 2023.
6. Moule P. Nursing research : an introduction . Third edition. (Aveyard H, Goodman ML, eds.). Sage; 2017.
7. Harvey M. Research methods for nurses and midwives : theory and practice . Second edition. (Land L, ed.). SAGE; 2021.
8. Beck CT, ed. Chapter 9: Quantitative Research Designs. In: Essentials of nursing research : appraising evidence for nursing practice. Ninth edition./ Denise F. Polit, Cheryl Tato Beck. Wolters Kluwer Health; 2018:137–161. https://contentstore.cla.co.uk/secure/link?id=65a4fbe0-e7eb-e811-80cd-005056af4099
9. Beck CT, ed. Chapter 8: Planning a Nursing Study. In: Nursing research : generating and assessing evidence for nursing practice . Tenth edition, international edition. Wolters Kluwer; 2017:160–181. https://contentstore.cla.co.uk/secure/link?id=cdc504d7-a2ec-e811-80cd-005056af4099
10. LoBiondo-Wood G, Haber J, eds. Chapter 8: Introduction to Quantitative Research. In: Nursing research : methods and critical appraisal for evidence-based practice . 8th edition. Elsevier; 2014:163–181. https://contentstore.cla.co.uk/secure/link?id=f5dadb91-1e53-e511-80bd-002590aca7cd
Study hours
Scheduled activity hours | |
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Fieldwork | 18 |
Lectures | 5 |
Practical classes & workshops | 2 |
Seminars | 14 |
Work based learning | 26 |
Independent study hours | |
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Independent study | 35 |
Teaching staff
Staff member | Role |
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Florian Walter | Unit coordinator |